登录
首页 » matlab » timedelayestLMS_1

timedelayestLMS_1

于 2011-09-22 发布 文件大小:7KB
0 262
下载积分: 1 下载次数: 12

代码说明:

  MATLAB时延LMS算法仿真~~~~~(Matlab time delay LMS)

文件列表:

timedelayestLMS_1.mdl,28891,2007-02-03

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • vc310
    Single phase A.C. voltage controller using matlab simulink
    2014-01-29 17:52:16下载
    积分:1
  • cx8_1
    试验模态参数的频域识别方法__导纳圆法模态参数识别(Experimental modal parameters identification method in frequency domain admittance circle method __ modal parameter identification)
    2011-05-06 16:20:07下载
    积分:1
  • Untitled
    计算四层框架结构的地震反应,包括常用的地震波(Calculate the seismic response of the four-story frame structure, including the commonly used seismic waves)
    2012-07-14 14:44:24下载
    积分:1
  • lab1
    介绍MATLAB处理语音信号的基本方法,如打开、保存、录音(MATLAB introduce the basic speech signal processing methods, such as open, save, sound recording)
    2008-05-18 19:43:31下载
    积分:1
  • mandelbrot
    分形图 利用matlan程序实现了分形图的编码,可以自主调控图像颜色(Mandelbrot set )
    2011-11-01 14:21:48下载
    积分:1
  • usefull-skills-in-matlab
    matlab使用的N个实用技巧及其程序实现。(N-use practical skills and procedures matlab implementation.)
    2013-11-26 00:25:24下载
    积分:1
  • Matlab2
    this file about matlab sent by Mohammad Javad Deriss
    2011-12-19 20:45:45下载
    积分:1
  • [with-matlab]
    人工蜂群算法matlab源程序,实现利用蜂群算法最优化问题(artificial bee colony algorithm)
    2020-08-23 17:48:16下载
    积分:1
  • Simulated-annealing-toolbox-
    模拟退火工具箱和相关的源代码,非常有用,希望大家共享学习(Simulated annealing toolbox and related source code )
    2014-01-16 23:48:58下载
    积分:1
  • 遗传算法程序
    说明:  遗传算法是计算数学中用于解决最佳化的搜索算法,是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的,这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题,一定数量的候选解(称为个体)的抽象表示(称为染色体)的种群向更好的解进化。传统上,解用二进制表示(即0和1的串),但也可以用其他表示方法。进化从完全随机个体的种群开始,之后一代一代发生。在每一代中,整个种群的适应度被评价,从当前种群中随机地选择多个个体(基于它们的适应度),通过自然选择和突变产生新的生命种群,该种群在算法的下一次迭代中成为当前种群。(Genetic algorithm (GA) is a search algorithm used to solve optimization in computational mathematics. It is one of evolutionary algorithms. Evolutionary algorithms were originally developed by borrowing phenomena in evolutionary biology, such as heredity, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a computer simulation. For an optimization problem, an abstract representation of a certain number of candidate solutions (called individuals) (called chromosomes) evolves towards a better solution. Traditionally, solutions are represented in binary (that is, strings of zeros and ones), but other representations are possible. Evolution begins with a population of completely random individuals, and it happens from generation to generation.)
    2020-06-07 21:42:11下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载